Research Article

Randomization at the level of primary care practice: use of pre-intervention data and random effects models

  1. R. M. Nixon1,*,
  2. S. W. Duffy1,
  3. G. R. K. Fender2,
  4. N. E. Day1,
  5. T. C. Prevost1

Article first published online: 30 MAY 2001

DOI: 10.1002/sim.792

Issue

Statistics in Medicine

Statistics in Medicine

Volume 20, Issue 12, pages 1727–1738, 30 June 2001

Additional Information

How to Cite

Nixon, R. M., Duffy, S. W., Fender, G. R. K., Day, N. E. and Prevost, T. C. (2001), Randomization at the level of primary care practice: use of pre-intervention data and random effects models. Statist. Med., 20: 1727–1738. doi: 10.1002/sim.792

Author Information

  1. 1

    MRC Biostatistics Unit, Institute of Public Health, University Forvie Site, Robinson Way, Cambridge, CB2 2SR, U.K.

  2. 2

    University of Cambridge, School of Clinical Medicine, Department of Obstetrics and Gynaecology, Box 223, Rosie Hospital, Robinson Way, Cambridge, CB2 2SW, U.K.

*MRC Biostatistics Unit, Institute of Public Health, University Forvie Site, Robinson Way, Cambridge CB2 2SR, U.K.

Publication History

  1. Issue published online: 30 MAY 2001
  2. Article first published online: 30 MAY 2001
  3. Manuscript Accepted: JUL 2000
  4. Manuscript Received: FEB 1999

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Abstract

The Anglia menorrhagia education study tests the effectiveness of an education package for the treatment of menorrhagia given to doctors at a primary care level. General practices were randomized to receive or not receive the package. It is hoped that this intervention will reduce the proportion of women suffering from menorrhagia that are referred to hospital. Data are available on the treatment and referral of women in the practices in the education and control groups, both pre- and post-intervention. We define and demonstrate a random effects logistic regression model that includes pre-intervention data for calculating the effectiveness of the intervention. Copyright © 2001 John Wiley & Sons, Ltd.

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